From the 1 of 28 linked papers with an AI index.
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Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks
Fidan Karimova, Tong Chen, Yu Yang +1
Predicting crimes in urban environments is crucial for public safety, yet existing prediction methods often struggle to align the knowledge across diverse cities that vary dramatic…
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen, Tong Chen, Mingming Gong +3
Although numerous complex algorithms for treatment effect estimation have been developed in recent years, their effectiveness remains limited when handling insufficiently labeled t…
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
Hechuan Wen, Tong Chen, Guanhua Ye +3
Causal effect estimation (CEE) provides a crucial tool for predicting the unobserved counterfactual outcome for an entity. As CEE relaxes the requirement for ``perfect'' counterfac…
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series
Hrishikesh Patel, Ruihong Qiu, Adam Irwin +2
Irregular time series, where data points are recorded at uneven intervals, are prevalent in healthcare settings, such as emergency wards where vital signs and laboratory results ar…
Fairness without Sensitive Attributes via Knowledge Sharing
Hongliang Ni, Lei Han, Tong Chen +2
While model fairness improvement has been explored previously, existing methods invariably rely on adjusting explicit sensitive attribute values in order to improve model fairness…